Struct LookupFile 

pub struct LookupFile {
    pub columns: Option<Located<Loose<Map<Loose<ColumnType>>>>>,
    pub sheet: Option<Located<Loose<String>>>,
    pub load: Option<Located<Loose<LoadName>>>,
    pub rows: Option<Located<Value>>,
    pub unknown: UnknownKeys,
}

The optional config of a lookup, lookups/<name>.yml next to a csv, xlsx, xls, json or jsonl file. (A .yml lookup that holds the rows themselves can also set rows.)

Fields

columns: Option<Located<Loose<Map<Loose<ColumnType>>>>>

Types for columns; without it every value is text.

sheet: Option<Located<Loose<String>>>

For xlsx and xls lookups: the sheet to read. Default: the first.

load: Option<Located<Loose<LoadName>>>

How the lookup reaches the database: inlined into the SQL, loaded into a temp table, or chosen by size (auto).

rows: Option<Located<Value>>

For a .yml lookup that holds its own data: the rows.

unknown: UnknownKeys

Trait Implementations

impl<'de> Deserialize<'de> for LookupFile

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl JsonSchema for LookupFile

fn schema_name() -> Cow<'static, str>

The name of the generated JSON Schema.

fn schema_id() -> Cow<'static, str>

Returns a string that uniquely identifies the schema produced by this type.

fn json_schema(generator: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type.

fn inline_schema() -> bool

Whether JSON Schemas generated for this type should be included directly in parent schemas, rather than being re-used where possible using the $ref keyword.